Lead Data Engineer

PSD Group; Greater London; On-site; GBP 70,000 - 110,000; Full time

Job summary

PSD Group is seeking an experienced Data Engineer in London to join a development team within a mid-sized Investment Management company. You will build and evolve a governed data platform and empower business users with analytic tooling.

The role requires hands-on data engineering across on-prem and cloud, with Python/SQL, DBT, Snowflake, and knowledge of buy-side platforms like Blackrock Aladdin being highly advantageous.

Qualifications

• Experience implementing cloud-based distributed data solutions.
• Strong coding skills in Python/Java/SQL.
• Knowledge of data governance and security practices.
• Experience with ETL/ELT, data integration, and automation.
• Familiarity with BI tools and analytics environments.

Skills

Python

Java

SQL

Data modelling

Experiment design

CI/CD

Data governance

Data security

ETL/ELT

Automation

Agile

Waterfall

Data integration

JSON

Message queues

Airflow

OpenFlow

DevOps

BI tooling

Cloud data platforms

Tools

Snowflake

DBT

Aladdin

Microsoft SQL Server

Oracle

Airflow

OpenFlow

Virtualization

Containers

Job description

Our client is a mid sized Investment Management company based in London and is looking for an experienced Data Engineer to join their Development team. The ideal candidate will have experience of working in Investment Management / Asset Management and familiarity with platforms such as Blackrock Aladdin along with the required data engineering and platform skills (although candidates from other financial background such as Investment Banking will be considered).

The role will be instrumental in enabling the team to evolve and maintain the data platform to provide well-governed, curated data to all users, and allow for easier future changes to underlying systems, without compromising the availability of consistent quality data. It will empower business users to make use of data with a range of tools such as BI tools, Python, Alteryx, AI or other data analysis and reporting tools.

Experience Required:

• Strong Snowflake and DBT
• Detailed knowledge and hands-on experience of implementing cloud-based distributed and scalable solutions, leveraging modern compute, storage, databases and reporting technologies.
• Experience and understanding of data engineering projects through all stages and states, preferably in an Investment Management / Asset Management organisations.
• Proven coding skills (Python, Java, SQL), and experience working with large data-sets, both on-prem and cloud-based.
• Experience of Blackrock Aladdin or similar buy-side platforms would be highly advantageous.
• Strong technical skillset, including expertise in data modelling, experimental design, and execution.
• Understanding of CI/CD pipelines and DevOps practices for data engineering.
• Understanding of data governance and data security practices.
• Experience in data integration, ETL/ELT pipeline, and automation/orchestration.
• Knowledge of cloud-based databases and associated development tools, including virtualisation and container technologies, and awareness of cost optimisation associated with their use.
• Experience in data analysis and working knowledge of common project management practices (Agile, Waterfall).
• Database technologies such as Microsoft SQL Server and Oracle.
• Engineering scripting – OpenFlow, DBT, Airflow and others.
• Message Queues, JSON and associated communications.
• Microsoft M365 platform, with a focus on Teams and DevOps.